JalalKhal/reranker-ModernBERT-base-paper-buddy-cached-mnrl
Paper Buddy ModernBERT-base reranker
This is a Cross Encoder model finetuned from answerdotai/ModernBERT-base using the sentence-transformers library. It computes scores for pairs of texts, which can be used for reranking.
Model Details
Model Description
- Model Type: Cross Encoder
- Base model: answerdotai/ModernBERT-base <!-- at revision 8949b909ec900327062f0ebf497f51aef5e6f0c8 -->
- Maximum Sequence Length: 528 tokens
- Number of Output Labels: 1 label
- Supported Modality: Text <!-- - Training Dataset: Unknown -->
- Language: en
- License: apache-2.0
Model Sources
- Documentation: Sentence Transformers Documentation
- Documentation: Cross Encoder Documentation
- Repository: Sentence Transformers on GitHub
- Hugging Face: Cross Encoders on Hugging Face
Full Model Architecture
CrossEncoder(
(0): Transformer({'transformer_task': 'sequence-classification', 'modality_config': {'text': {'method': 'forward', 'method_output_name': 'logits'}}, 'module_output_name': 'scores', 'architecture': 'ModernBertForSequenceClassification'})
)Usage
Direct Usage (Sentence Transformers)
First install the Sentence Transformers library:
pip install -U sentence-transformersThen you can load this model and run inference.
from sentence_transformers import CrossEncoder
# Download from the 🤗 Hub
model = CrossEncoder("cross_encoder_model_id")
# Get scores for pairs of inputs
pairs = [
['How many calories in an egg', 'There are on average between 55 and 80 calories in an egg depending on its size.'],
['How many calories in an egg', 'Egg whites are very low in calories, have no fat, no cholesterol, and are loaded with protein.'],
['How many calories in an egg', 'Most of the calories in an egg come from the yellow yolk in the center.'],
]
scores = model.predict(pairs)
print(scores)
# [0.5144 0.5474 0.547 ]
# Or rank different texts based on similarity to a single text
ranks = model.rank(
'How many calories in an egg',
[
'There are on average between 55 and 80 calories in an egg depending on its size.',
'Egg whites are very low in calories, have no fat, no cholesterol, and are loaded with protein.',
'Most of the calories in an egg come from the yellow yolk in the center.',
]
)
# [{'corpus_id': ..., 'score': ...}, {'corpus_id': ..., 'score': ...}, ...]<!--
Direct Usage (Transformers)
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Downstream Usage (Sentence Transformers)
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Training Details
Framework Versions
- Python: 3.12.9
- Sentence Transformers: 5.4.1
- Transformers: 4.57.6
- PyTorch: 2.11.0+cu130
- Accelerate: 1.13.0
- Datasets: 4.8.4
- Tokenizers: 0.22.2
Citation
BibTeX
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